Top Data Engineer Jobs in Raleigh, NC

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

This role involves designing and managing an Azure-based data platform for marketing analytics, integrating marketing technology, optimizing data pipelines, and ensuring data governance and compliance while implementing DevOps practices.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

As a Data Engineer, you'll build and maintain data pipelines for analytics, focusing on Snowflake, while collaborating with teams to ensure data reliability.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

Design and build a comprehensive data ecosystem, leading vendor selection and hands-on development while collaborating with leadership on data strategy.

Responsible for designing, building, and deploying data pipelines, supporting customer implementations, and collaborating with data scientists on health data integration.

The Staff Data Engineer will build and maintain data pipelines for ML models in a collaborative team, focusing on quality and scalability, within a remote work setting.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Design, build, and manage data, analytics, and MLOps platforms on Azure. Automate infrastructure and ensure platform reliability while optimizing costs.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

The Data Engineer will design, maintain ETL pipelines, collaborate on data products, and improve data infrastructure to ensure reliable data access across stakeholders.

As a Senior Backend Engineer, you'll lead data migration projects, design and optimize ETL pipelines, and ensure data quality and consistency across systems.

As a Data Engineer at Target RWE, you will develop data pipelines, translate business needs into technical solutions, and support cloud infrastructure to enhance operational efficiency.

Develop and maintain ETL pipelines, ensure data integration, collaborate with teams, and optimize data workflows for efficiency.

Join the Global Value Engineering Center to consult, develop, and prototype AI-driven solutions using Celonis technology, enhancing business processes.

As a Senior Data Engineer, you will own and optimize data platforms in Databricks, design ETL pipelines, and enable AI applications, partnering with cross-functional teams.

As a Senior Software Engineer for Data Infrastructure, you'll design and manage core data systems, ensuring scalability and compliance while collaborating with various teams and maintaining high-performance standards.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The role involves developing and maintaining data pipelines, managing critical data sources, improving data architecture, and mentoring junior team members in a collaborative environment.

Lead the Data Curation team, transforming complex biomedical and healthcare data into interoperable models, overseeing data integration and governance, and mentoring engineering staff.

As a Senior Engineer on the Finance + Data Team, you'll architect systems, automate workflows, and develop AI-enabled insights to enhance decision-making and drive business impact.